Sentence examples for model using inverse from inspiring English sources

The rational model is transformed to a time domain model using inverse Laplace transformation.

It is proved that the possibility-constrained model can be transformed to an equivalent deterministic transportation model using inverse uncertainty distribution.

Cox proportional hazards model using inverse probability of treatment weighting of the propensity score was used to estimate the effect of intravenous steroids, alone or in conjunction with DrotAA, on 28-day and 90-day all-cause mortality.

The effective potentials of the CG model are constructed from several full-atomic models using inverse Boltzmann method (IBM) along with the pressure correction for non-bonded interaction.

In the Bayesian analysis of the dnIGE model both genetic and environmental variances of susceptibility and infectivity were modeled using inverse gamma distributions.

The effect of statins on CVD endpoints were assessed using weighted Cox proportional hazard models using inverse probability weights based on the propensity score.

Data were pooled where studies were considered to be clinically and statistically homogeneous, and pooled effect sizes (RR, OR, MD) and 95% CIs were calculated using both fixed-effect and random-effects models using inverse variance or Mantel-Haenszel methods.

Marginal structural models using inverse probability of treatment weighting (IPTW) have been recently developed to solve this problem that the treatment effects are affected by time-dependent confounders that are themselves affected by the treatment [ 9].

In meta-analysis, fixed-effect models use inverse variances for weights, with dispersion in estimates due solely to stochastic sampling error in each primary study [13, 14].

One set of models used inverse propensity score adjustment methods with the stabilized weights trimmed (<10) to limit the impact of a few outliers.

The marginal structural model (Model 2) using inverse probability weights resulted in children of medium and low socioeconomic position having 73%andd 128% increased risk of poor educational achievement, respectively.